Field Based Business Development Executive Jobs

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Adyen is looking for full-time Kotlin Engineers to help us develop our in-person payments solution. We have a large and varied fleet of payment terminals and payment SDKs in the field, which we are continuously improving by adding new features and payment methods. Kotlin development plays a vital role in this effort, as your code will be deployed across our various solutions using Kotlin Multiplatform. What you’ll do As a Kotlin Engineer you will work on solutions for our payment terminals and payment SDKs featuring many capabilities, such as: Accepting payments using credit cards and debit cards, Apple Pay or Google Pay on mobile phones or accepting payments through QR codes Building and maintaining payment features for global merchants Integration with a variety of cash registers using state of the art standards You will be working on developing our main business logic in Kotlin, which will be deployed on both Android and Linux based payment terminals, and on our backend. You will also be contributing to C++ libraries that are central to our payment business logic. Your code is tested using a variety of testing methods. These methods range from unit testing to complete product testing via automated programmable robots in order to offer a stable and feature rich solution to all of our merchants. Who you are: A motivated, enth

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Develop Linux user-space firmware for Ubiquiti networking products; Collaborate with global firmware, hardware, cloud, and product teams throughout the product lifecycle; Design, implement, and maintain system services, management daemons, libraries, and product business logic; Develop network-facing applications using sockets, IPC mechanisms, netlink, and event-driven I/O; Integrate open-source packages and third-party components into our OpenWrt-based firmware and build systems; Maintain and improve existing firmware, focusing on stability, performance, security, and resource efficiency; Develop interfaces between low-level platform components, device-management services, and higher-level product features; Diagnose complex laboratory and field issues using logs, packet captures, tracing, core dumps, and profiling tools. Requirements: 3+ years of embedded Linux software development experience using C or C++; Strong understanding of Linux internals, including processes, threads, memory management, filesystems, signals, and service lifecycle; Experience with Linux networking, sockets, IPC, netlink, epoll, and asynchronous application design; Solid networking fundamentals, including Ethernet, TCP/UDP, IPv4/IPv6, routing, bridging, firewalls, and DNS/DHCP.; Experience with Git, Bash, cross-compilation, toolchains,

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. 🧠 You will... Lead a specific feature of the app, seeing it through the entire product development cycle: ideation, specification, development, release, analysis, and iteration Conduct research, analyze market trends and data and develop a product roadmap for a key component of Duolingo’s business (past projects include: teaching Asian languages better, exploring strategy for emerging markets, and product improvements to attract more offline learners) Work closely with UI/UX designers to ensure an excellent user experience Work with engineers to help guide feature development Perform quantitative analysis on features’ performance and find opportunities for optimization ✅ You have... Currently pursuing an MBA or related Master’s degree graduating December 2027 or Spring 2028 Bachelor’s degree in Engineering, Business, Psychology, Design, Computer Science, or related field 3+ years of professional experience as a PM or in highly related areas, such as software engineering, design, data analysis, language learning, or brand management. Ability to utilize knowledge of user insights, data, and statistical analyses to inform decisions An instinct for creating simple and intuitive user experiences Proven ability to learn fast Demonstrated ability to be resourceful and innovative Experience leading projects and teams A d

TERRITORY: This role covers Eastern Washington and Southwest Idaho. We are ideally seeking candidates based in Boise, ID. Candidates based in Spokane, WA will also be considered; however, please note that this will require more frequent travel given the geography. We are currently looking for an Account Sales Representative (ASR) to join our Women's Health sales team! The ASR is responsible for service and sales support activities to assist in driving market adoption and business growth. Core responsibilities include supporting the Clinical Field Specialists (CFS) increase revenue and drive market development through direct sales to individual MFMs and OB/GYNs. Support efforts include cultivating and maintaining key relationships, and creating and supporting a strategic business plan to grow revenue quickly. Support efforts will focus on currently marketed products and new product launches. PRIMARY RESPONSIBILITIES Support CFS with a focus on closing business Work with assigned CFS to maintain & support existing customers Assess the needs of medical professionals and staff members with a focus on customer support, coordination of logistics, and problem-solving Promote quality client/patient relations and create a supportive climate by serving as a role model for other employees Respect and maintain the confidentiality of laboratory and financial information Practice and adhere to all company policies and regulations Follow Compliance procedures and participates in Compliance training Perform miscellaneous duties with completion in a designated time frame Communicate with Natera staff and its customer to ensure quality Maintain and support a service oriented relationship with customers Utilize personal and professional skills to promote excellent customer service QUALIFICATIONS Bachelor’s degree or equivalent Minimum of 2 years of sales experience Background in medical or biological sciences preferred KNOWLEDGE, SKILLS, AND ABILITIES Proven track reco

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Location: Philippines (APAC region) About the role As a Customer Support Associate (CSA) you will act as the frontline key person, responsible for providing support and assistance to customers who have inquiries or issues with our product or services. The role: Respond to customer inquiries via email, chat, or social media in a timely and professional manner Provide accurate information and support to customers to resolve their issues Identify and escalate complex issues to Tier 2 support when necessary Collaborate with other teams such as technical support specialists, support product specialists, and leadership to resolve customer issues Record and maintain accurate customer information within our CRM systems (Intercom & Salesforce) Meet individual and team performance metrics (KPI’s) such as first response times, first contact resolution rates, and customer satisfaction Continuously improve your own product knowledge and remain up to date with our product, services and processes Provide constructive feedback to the business and leadership team to improve customer support processes and procedures About you : Based in the Philippines High school diploma or equivalent; college or a degree in a related field

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation. What You’ll Work On Leverage scientific methods to improve ads measurement . Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the

A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions WHAT'S REQUIRED Bachelor's degree in computer science, software engineering, or a related technical field At least 5 years of professional software enginee

About Us DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. Role Overview We’re looking for a mechanical engineer who designs and builds connected consumer and enterprise devices, including SmartScale, lockers, POS systems, and hardware for emerging automation and robotics applications. In this role, you will help define what to build and own mechanical development from ambiguous user or business needs through architecture, rapid prototyping, and field pilots. This is a build-heavy role on a small, senior, multidisciplinary team. You'll work directly with suppliers, supported by an NPI/program partner, and provide mechanical leadership during new product introduction (NPI). Specialist reliability expertise can support deeper validation as programs mature. San Francisco-based candidates are preferred; hybrid arrangements are acceptable. The role includes hands-on collaboration around prototypes and lab work. Key Responsibilities Help define product requirements and features from customer needs and business priorities. Explain trade-offs among user experience, performance, cost, reliability, and development time. Build prototypes for new product ideas, partner on pilot design, and turn findings from real use into requirements and designs for larger pilots. Communicate what was learned and what should happen next. Create CAD, drawings, and physical prototypes; choose materials, components, and fabrication methods ap

Territory: This role covers Salt Lake City & Southern Utah. Ideal candidate would be based in or near Salt Lake City area We are currently looking for an Account Sales Representative (ASR) to join our Women's Health sales team! The ASR is responsible for service and sales support activities to assist in driving market adoption and business growth. Core responsibilities include supporting the Clinical Field Specialists (CFS) increase revenue and drive market development through direct sales to individual MFMs and OB/GYNs. Support efforts include cultivating and maintaining key relationships, and creating and supporting a strategic business plan to grow revenue quickly. Support efforts will focus on currently marketed products and new product launches. PRIMARY RESPONSIBILITIES Support CFS with a focus on closing business Work with assigned CFS to maintain & support existing customers Assess the needs of medical professionals and staff members with a focus on customer support, coordination of logistics, and problem-solving Promote quality client/patient relations and create a supportive climate by serving as a role model for other employees Respect and maintain the confidentiality of laboratory and financial information Practice and adhere to all company policies and regulations Follow Compliance procedures and participates in Compliance training Perform miscellaneous duties with completion in a designated time frame Communicate with Natera staff and its customer to ensure quality Maintain and support a service oriented relationship with customers Utilize personal and professional skills to promote excellent customer service QUALIFICATIONS Bachelor’s degree or equivalent Minimum of 2 years of sales experience Background in medical or biological sciences preferred KNOWLEDGE, SKILLS, AND ABILITIES Proven track record of success in achieving and exceeding sales goals Award winning sales professional due to individual achievements Exceptionally bright, flexib

About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each lea

Who we are About Stripe #LI-DNI Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end. Collaborate with engineers, designers, data scientists, and product managers to develop new features and products. Uphold our high engineering standards and bring consistency to the many codebases and processes you will encounter. Build elegant APIs and user experiences that enable merchants to run and scale their businesses on top of Stripe. Contribute to the design and architecture of the next generation of Stripe’s infrastructure, to meet the high growth needs of our company and customers for years to come. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus 2 years of experience in Software development. Must also have two years of experience in each of the following: Working across the stack and navigate codebases with different languages and tools; Developing user-facing experiences and writing queries for analyzing experiment results; Programming Language including Ruby, Java, Scala and SQL; Cloud based services including gRPC, GraphQL and AWS; Proficiency with MongoDB, Spark, Hadoop, Kafka, Grafana, Prometheus and AWS; and macOS and Unix-based operating systems. Salary: $156,800.00 - $235,200.00/yr. This salary range represents the base salary range for the rol

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks,

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks, w

P-926 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking multiple senior engineers to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 5+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that red

P-375 The Search team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. We are focusing on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users inte